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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 21 Oct 2009 10:58:54 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t1256144514mngks6zdnsi2a8k.htm/, Retrieved Thu, 02 May 2024 08:24:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49513, Retrieved Thu, 02 May 2024 08:24:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact84
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [] [2009-10-21 15:57:18] [cbad1061f592e63338beecda00ae0022]
-   P     [Harrell-Davis Quantiles] [] [2009-10-21 16:58:54] [3124dd9566c5de02f2943664af57df92] [Current]
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Dataseries X:
-9
-13
-18
-11
-9
-10
-13
-11
-5
-15
-6
-6
-3
-1
-3
-4
-6
0
-4
-2
-2
-6
-7
-6
-6
-3
-2
-5
-11
-11
-11
-10
-14
-8
-9
-5
-1
-2
-5
-4
-6
-2
-2
-2
-2
2
1
-8
-1
1
-1
2
2
1
-1
-2
-2
-1
-8
-4
-6
-3
-3
-7
-9
-11
-13
-11
-9
-17
-22
-25
-20
-24
-24
-22
-19
-18
-17
-11
-11




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49513&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49513&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49513&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.63937761019650.865001193869624
0.02-24.06743277000870.966152030756575
0.03-23.39909976046151.29546824902504
0.04-22.66304908497841.61677428698461
0.05-21.87537142836001.83799135195628
0.06-21.06610177115861.95972894454750
0.07-20.26678389119652.00370474454984
0.08-19.49853414265292.00092502643127
0.09-18.76915412032711.99022642884176
0.1-18.07555533182692.00385200091544
0.11-17.40863382429902.05147060099881
0.12-16.7588363918932.11829069332772
0.13-16.12060687242632.1769136485612
0.14-15.49440453374452.20171927149768
0.15-14.88617014851412.17729124720663
0.16-14.30513496377332.10032599231261
0.17-13.76119213940531.97693062239130
0.18-13.26275394066151.81853426995260
0.19-12.81547601521141.63815236467623
0.2-12.42178200081621.44837380036321
0.21-12.08091860073881.26082774542004
0.22-11.78928637341591.08634266275363
0.23-11.54090905339610.935164582460011
0.24-11.32801130008570.816571157558318
0.25-11.14171352293600.737779335584784
0.26-10.97282539787810.701843255074822
0.27-10.81266469551530.705607622052713
0.28-10.65378667922740.740186787359316
0.29-10.49050605877540.793979986452082
0.3-10.31913024984570.855870992389005
0.31-10.13788483770880.917052054949363
0.32-9.94657840989990.971717709716416
0.33-9.746105078052581.01711354652327
0.34-9.53790694604181.05327791005780
0.35-9.323512185533741.08209033254024
0.36-9.104231942106881.10626975100387
0.37-8.881051379840221.12812142917134
0.38-8.65469964218511.14869070771029
0.39-8.425842390795461.16728194782645
0.4-8.195317325100461.18160685957789
0.41-7.96433099093391.18842735260507
0.42-7.734552341473581.18440152883397
0.43-7.508068963007681.16695748337115
0.44-7.287207538453471.13501492482333
0.45-7.074252800548611.0894046387542
0.46-6.87112227569051.03290905398612
0.47-6.679063499902540.970034225717906
0.48-6.498435129596750.906432638057022
0.49-6.328615484987470.848152358323339
0.5-6.168055992692970.800786196302576
0.51-6.0144686341690.768504800203945
0.52-5.865111952556060.753328116876858
0.53-5.717124375252010.754770665661156
0.54-5.56784927985120.77016536337647
0.55-5.415103268891930.795447106205626
0.56-5.257354799039150.826064546917382
0.57-5.093800166423560.857704961299003
0.58-4.924343001843720.886734778397931
0.59-4.74949793306580.910433132444813
0.6-4.570246859034900.927017950027888
0.61-4.387877411271320.935585899368101
0.62-4.203829358492090.935976856986782
0.63-4.01956831948920.928570081634106
0.64-3.836499167274620.914086773993675
0.65-3.655924808281770.893380231216399
0.66-3.479049329019750.867217490860438
0.67-3.307017049770150.836111859351034
0.68-3.140970592315940.800191707179678
0.69-2.982102873815080.759217576760853
0.7-2.831672797985730.712748121438287
0.71-2.690955908880880.660499918851367
0.72-2.561112142798380.602794651120127
0.73-2.442973276429610.54099739753781
0.74-2.336779480637850.477796843031351
0.75-2.241921159725250.417242475467688
0.76-2.156760868683140.364533925097968
0.77-2.078612573866330.325529958768257
0.78-2.003935691387600.305574768721135
0.79-1.928756360150090.307186973067745
0.8-1.849260765567920.327918931194589
0.81-1.762425870617420.360789769585997
0.82-1.666484028053350.39692047874872
0.83-1.560993900187980.428274198060015
0.84-1.446350128895960.450082116296181
0.85-1.322735189188670.463131627647393
0.86-1.188786790630870.475270955072458
0.87-1.040544198637380.500408825969321
0.88-0.8713898629174740.552320298041908
0.89-0.6735178691288870.634228754777138
0.9-0.440807312760490.732570934503449
0.91-0.1719945365858630.820705675197048
0.920.127687966704310.87013561572792
0.930.447775685158670.864994090064188
0.940.7759357775327510.81224686196339
0.951.099925787392100.734675517686923
0.961.404785374975830.640715038159634
0.971.667682159264790.504807967464242
0.981.860381552046310.309826460472885
0.991.966365935950450.109639844323737

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.6393776101965 & 0.865001193869624 \tabularnewline
0.02 & -24.0674327700087 & 0.966152030756575 \tabularnewline
0.03 & -23.3990997604615 & 1.29546824902504 \tabularnewline
0.04 & -22.6630490849784 & 1.61677428698461 \tabularnewline
0.05 & -21.8753714283600 & 1.83799135195628 \tabularnewline
0.06 & -21.0661017711586 & 1.95972894454750 \tabularnewline
0.07 & -20.2667838911965 & 2.00370474454984 \tabularnewline
0.08 & -19.4985341426529 & 2.00092502643127 \tabularnewline
0.09 & -18.7691541203271 & 1.99022642884176 \tabularnewline
0.1 & -18.0755553318269 & 2.00385200091544 \tabularnewline
0.11 & -17.4086338242990 & 2.05147060099881 \tabularnewline
0.12 & -16.758836391893 & 2.11829069332772 \tabularnewline
0.13 & -16.1206068724263 & 2.1769136485612 \tabularnewline
0.14 & -15.4944045337445 & 2.20171927149768 \tabularnewline
0.15 & -14.8861701485141 & 2.17729124720663 \tabularnewline
0.16 & -14.3051349637733 & 2.10032599231261 \tabularnewline
0.17 & -13.7611921394053 & 1.97693062239130 \tabularnewline
0.18 & -13.2627539406615 & 1.81853426995260 \tabularnewline
0.19 & -12.8154760152114 & 1.63815236467623 \tabularnewline
0.2 & -12.4217820008162 & 1.44837380036321 \tabularnewline
0.21 & -12.0809186007388 & 1.26082774542004 \tabularnewline
0.22 & -11.7892863734159 & 1.08634266275363 \tabularnewline
0.23 & -11.5409090533961 & 0.935164582460011 \tabularnewline
0.24 & -11.3280113000857 & 0.816571157558318 \tabularnewline
0.25 & -11.1417135229360 & 0.737779335584784 \tabularnewline
0.26 & -10.9728253978781 & 0.701843255074822 \tabularnewline
0.27 & -10.8126646955153 & 0.705607622052713 \tabularnewline
0.28 & -10.6537866792274 & 0.740186787359316 \tabularnewline
0.29 & -10.4905060587754 & 0.793979986452082 \tabularnewline
0.3 & -10.3191302498457 & 0.855870992389005 \tabularnewline
0.31 & -10.1378848377088 & 0.917052054949363 \tabularnewline
0.32 & -9.9465784098999 & 0.971717709716416 \tabularnewline
0.33 & -9.74610507805258 & 1.01711354652327 \tabularnewline
0.34 & -9.5379069460418 & 1.05327791005780 \tabularnewline
0.35 & -9.32351218553374 & 1.08209033254024 \tabularnewline
0.36 & -9.10423194210688 & 1.10626975100387 \tabularnewline
0.37 & -8.88105137984022 & 1.12812142917134 \tabularnewline
0.38 & -8.6546996421851 & 1.14869070771029 \tabularnewline
0.39 & -8.42584239079546 & 1.16728194782645 \tabularnewline
0.4 & -8.19531732510046 & 1.18160685957789 \tabularnewline
0.41 & -7.9643309909339 & 1.18842735260507 \tabularnewline
0.42 & -7.73455234147358 & 1.18440152883397 \tabularnewline
0.43 & -7.50806896300768 & 1.16695748337115 \tabularnewline
0.44 & -7.28720753845347 & 1.13501492482333 \tabularnewline
0.45 & -7.07425280054861 & 1.0894046387542 \tabularnewline
0.46 & -6.8711222756905 & 1.03290905398612 \tabularnewline
0.47 & -6.67906349990254 & 0.970034225717906 \tabularnewline
0.48 & -6.49843512959675 & 0.906432638057022 \tabularnewline
0.49 & -6.32861548498747 & 0.848152358323339 \tabularnewline
0.5 & -6.16805599269297 & 0.800786196302576 \tabularnewline
0.51 & -6.014468634169 & 0.768504800203945 \tabularnewline
0.52 & -5.86511195255606 & 0.753328116876858 \tabularnewline
0.53 & -5.71712437525201 & 0.754770665661156 \tabularnewline
0.54 & -5.5678492798512 & 0.77016536337647 \tabularnewline
0.55 & -5.41510326889193 & 0.795447106205626 \tabularnewline
0.56 & -5.25735479903915 & 0.826064546917382 \tabularnewline
0.57 & -5.09380016642356 & 0.857704961299003 \tabularnewline
0.58 & -4.92434300184372 & 0.886734778397931 \tabularnewline
0.59 & -4.7494979330658 & 0.910433132444813 \tabularnewline
0.6 & -4.57024685903490 & 0.927017950027888 \tabularnewline
0.61 & -4.38787741127132 & 0.935585899368101 \tabularnewline
0.62 & -4.20382935849209 & 0.935976856986782 \tabularnewline
0.63 & -4.0195683194892 & 0.928570081634106 \tabularnewline
0.64 & -3.83649916727462 & 0.914086773993675 \tabularnewline
0.65 & -3.65592480828177 & 0.893380231216399 \tabularnewline
0.66 & -3.47904932901975 & 0.867217490860438 \tabularnewline
0.67 & -3.30701704977015 & 0.836111859351034 \tabularnewline
0.68 & -3.14097059231594 & 0.800191707179678 \tabularnewline
0.69 & -2.98210287381508 & 0.759217576760853 \tabularnewline
0.7 & -2.83167279798573 & 0.712748121438287 \tabularnewline
0.71 & -2.69095590888088 & 0.660499918851367 \tabularnewline
0.72 & -2.56111214279838 & 0.602794651120127 \tabularnewline
0.73 & -2.44297327642961 & 0.54099739753781 \tabularnewline
0.74 & -2.33677948063785 & 0.477796843031351 \tabularnewline
0.75 & -2.24192115972525 & 0.417242475467688 \tabularnewline
0.76 & -2.15676086868314 & 0.364533925097968 \tabularnewline
0.77 & -2.07861257386633 & 0.325529958768257 \tabularnewline
0.78 & -2.00393569138760 & 0.305574768721135 \tabularnewline
0.79 & -1.92875636015009 & 0.307186973067745 \tabularnewline
0.8 & -1.84926076556792 & 0.327918931194589 \tabularnewline
0.81 & -1.76242587061742 & 0.360789769585997 \tabularnewline
0.82 & -1.66648402805335 & 0.39692047874872 \tabularnewline
0.83 & -1.56099390018798 & 0.428274198060015 \tabularnewline
0.84 & -1.44635012889596 & 0.450082116296181 \tabularnewline
0.85 & -1.32273518918867 & 0.463131627647393 \tabularnewline
0.86 & -1.18878679063087 & 0.475270955072458 \tabularnewline
0.87 & -1.04054419863738 & 0.500408825969321 \tabularnewline
0.88 & -0.871389862917474 & 0.552320298041908 \tabularnewline
0.89 & -0.673517869128887 & 0.634228754777138 \tabularnewline
0.9 & -0.44080731276049 & 0.732570934503449 \tabularnewline
0.91 & -0.171994536585863 & 0.820705675197048 \tabularnewline
0.92 & 0.12768796670431 & 0.87013561572792 \tabularnewline
0.93 & 0.44777568515867 & 0.864994090064188 \tabularnewline
0.94 & 0.775935777532751 & 0.81224686196339 \tabularnewline
0.95 & 1.09992578739210 & 0.734675517686923 \tabularnewline
0.96 & 1.40478537497583 & 0.640715038159634 \tabularnewline
0.97 & 1.66768215926479 & 0.504807967464242 \tabularnewline
0.98 & 1.86038155204631 & 0.309826460472885 \tabularnewline
0.99 & 1.96636593595045 & 0.109639844323737 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49513&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]-24.6393776101965[/C][C]0.865001193869624[/C][/ROW]
[ROW][C]0.02[/C][C]-24.0674327700087[/C][C]0.966152030756575[/C][/ROW]
[ROW][C]0.03[/C][C]-23.3990997604615[/C][C]1.29546824902504[/C][/ROW]
[ROW][C]0.04[/C][C]-22.6630490849784[/C][C]1.61677428698461[/C][/ROW]
[ROW][C]0.05[/C][C]-21.8753714283600[/C][C]1.83799135195628[/C][/ROW]
[ROW][C]0.06[/C][C]-21.0661017711586[/C][C]1.95972894454750[/C][/ROW]
[ROW][C]0.07[/C][C]-20.2667838911965[/C][C]2.00370474454984[/C][/ROW]
[ROW][C]0.08[/C][C]-19.4985341426529[/C][C]2.00092502643127[/C][/ROW]
[ROW][C]0.09[/C][C]-18.7691541203271[/C][C]1.99022642884176[/C][/ROW]
[ROW][C]0.1[/C][C]-18.0755553318269[/C][C]2.00385200091544[/C][/ROW]
[ROW][C]0.11[/C][C]-17.4086338242990[/C][C]2.05147060099881[/C][/ROW]
[ROW][C]0.12[/C][C]-16.758836391893[/C][C]2.11829069332772[/C][/ROW]
[ROW][C]0.13[/C][C]-16.1206068724263[/C][C]2.1769136485612[/C][/ROW]
[ROW][C]0.14[/C][C]-15.4944045337445[/C][C]2.20171927149768[/C][/ROW]
[ROW][C]0.15[/C][C]-14.8861701485141[/C][C]2.17729124720663[/C][/ROW]
[ROW][C]0.16[/C][C]-14.3051349637733[/C][C]2.10032599231261[/C][/ROW]
[ROW][C]0.17[/C][C]-13.7611921394053[/C][C]1.97693062239130[/C][/ROW]
[ROW][C]0.18[/C][C]-13.2627539406615[/C][C]1.81853426995260[/C][/ROW]
[ROW][C]0.19[/C][C]-12.8154760152114[/C][C]1.63815236467623[/C][/ROW]
[ROW][C]0.2[/C][C]-12.4217820008162[/C][C]1.44837380036321[/C][/ROW]
[ROW][C]0.21[/C][C]-12.0809186007388[/C][C]1.26082774542004[/C][/ROW]
[ROW][C]0.22[/C][C]-11.7892863734159[/C][C]1.08634266275363[/C][/ROW]
[ROW][C]0.23[/C][C]-11.5409090533961[/C][C]0.935164582460011[/C][/ROW]
[ROW][C]0.24[/C][C]-11.3280113000857[/C][C]0.816571157558318[/C][/ROW]
[ROW][C]0.25[/C][C]-11.1417135229360[/C][C]0.737779335584784[/C][/ROW]
[ROW][C]0.26[/C][C]-10.9728253978781[/C][C]0.701843255074822[/C][/ROW]
[ROW][C]0.27[/C][C]-10.8126646955153[/C][C]0.705607622052713[/C][/ROW]
[ROW][C]0.28[/C][C]-10.6537866792274[/C][C]0.740186787359316[/C][/ROW]
[ROW][C]0.29[/C][C]-10.4905060587754[/C][C]0.793979986452082[/C][/ROW]
[ROW][C]0.3[/C][C]-10.3191302498457[/C][C]0.855870992389005[/C][/ROW]
[ROW][C]0.31[/C][C]-10.1378848377088[/C][C]0.917052054949363[/C][/ROW]
[ROW][C]0.32[/C][C]-9.9465784098999[/C][C]0.971717709716416[/C][/ROW]
[ROW][C]0.33[/C][C]-9.74610507805258[/C][C]1.01711354652327[/C][/ROW]
[ROW][C]0.34[/C][C]-9.5379069460418[/C][C]1.05327791005780[/C][/ROW]
[ROW][C]0.35[/C][C]-9.32351218553374[/C][C]1.08209033254024[/C][/ROW]
[ROW][C]0.36[/C][C]-9.10423194210688[/C][C]1.10626975100387[/C][/ROW]
[ROW][C]0.37[/C][C]-8.88105137984022[/C][C]1.12812142917134[/C][/ROW]
[ROW][C]0.38[/C][C]-8.6546996421851[/C][C]1.14869070771029[/C][/ROW]
[ROW][C]0.39[/C][C]-8.42584239079546[/C][C]1.16728194782645[/C][/ROW]
[ROW][C]0.4[/C][C]-8.19531732510046[/C][C]1.18160685957789[/C][/ROW]
[ROW][C]0.41[/C][C]-7.9643309909339[/C][C]1.18842735260507[/C][/ROW]
[ROW][C]0.42[/C][C]-7.73455234147358[/C][C]1.18440152883397[/C][/ROW]
[ROW][C]0.43[/C][C]-7.50806896300768[/C][C]1.16695748337115[/C][/ROW]
[ROW][C]0.44[/C][C]-7.28720753845347[/C][C]1.13501492482333[/C][/ROW]
[ROW][C]0.45[/C][C]-7.07425280054861[/C][C]1.0894046387542[/C][/ROW]
[ROW][C]0.46[/C][C]-6.8711222756905[/C][C]1.03290905398612[/C][/ROW]
[ROW][C]0.47[/C][C]-6.67906349990254[/C][C]0.970034225717906[/C][/ROW]
[ROW][C]0.48[/C][C]-6.49843512959675[/C][C]0.906432638057022[/C][/ROW]
[ROW][C]0.49[/C][C]-6.32861548498747[/C][C]0.848152358323339[/C][/ROW]
[ROW][C]0.5[/C][C]-6.16805599269297[/C][C]0.800786196302576[/C][/ROW]
[ROW][C]0.51[/C][C]-6.014468634169[/C][C]0.768504800203945[/C][/ROW]
[ROW][C]0.52[/C][C]-5.86511195255606[/C][C]0.753328116876858[/C][/ROW]
[ROW][C]0.53[/C][C]-5.71712437525201[/C][C]0.754770665661156[/C][/ROW]
[ROW][C]0.54[/C][C]-5.5678492798512[/C][C]0.77016536337647[/C][/ROW]
[ROW][C]0.55[/C][C]-5.41510326889193[/C][C]0.795447106205626[/C][/ROW]
[ROW][C]0.56[/C][C]-5.25735479903915[/C][C]0.826064546917382[/C][/ROW]
[ROW][C]0.57[/C][C]-5.09380016642356[/C][C]0.857704961299003[/C][/ROW]
[ROW][C]0.58[/C][C]-4.92434300184372[/C][C]0.886734778397931[/C][/ROW]
[ROW][C]0.59[/C][C]-4.7494979330658[/C][C]0.910433132444813[/C][/ROW]
[ROW][C]0.6[/C][C]-4.57024685903490[/C][C]0.927017950027888[/C][/ROW]
[ROW][C]0.61[/C][C]-4.38787741127132[/C][C]0.935585899368101[/C][/ROW]
[ROW][C]0.62[/C][C]-4.20382935849209[/C][C]0.935976856986782[/C][/ROW]
[ROW][C]0.63[/C][C]-4.0195683194892[/C][C]0.928570081634106[/C][/ROW]
[ROW][C]0.64[/C][C]-3.83649916727462[/C][C]0.914086773993675[/C][/ROW]
[ROW][C]0.65[/C][C]-3.65592480828177[/C][C]0.893380231216399[/C][/ROW]
[ROW][C]0.66[/C][C]-3.47904932901975[/C][C]0.867217490860438[/C][/ROW]
[ROW][C]0.67[/C][C]-3.30701704977015[/C][C]0.836111859351034[/C][/ROW]
[ROW][C]0.68[/C][C]-3.14097059231594[/C][C]0.800191707179678[/C][/ROW]
[ROW][C]0.69[/C][C]-2.98210287381508[/C][C]0.759217576760853[/C][/ROW]
[ROW][C]0.7[/C][C]-2.83167279798573[/C][C]0.712748121438287[/C][/ROW]
[ROW][C]0.71[/C][C]-2.69095590888088[/C][C]0.660499918851367[/C][/ROW]
[ROW][C]0.72[/C][C]-2.56111214279838[/C][C]0.602794651120127[/C][/ROW]
[ROW][C]0.73[/C][C]-2.44297327642961[/C][C]0.54099739753781[/C][/ROW]
[ROW][C]0.74[/C][C]-2.33677948063785[/C][C]0.477796843031351[/C][/ROW]
[ROW][C]0.75[/C][C]-2.24192115972525[/C][C]0.417242475467688[/C][/ROW]
[ROW][C]0.76[/C][C]-2.15676086868314[/C][C]0.364533925097968[/C][/ROW]
[ROW][C]0.77[/C][C]-2.07861257386633[/C][C]0.325529958768257[/C][/ROW]
[ROW][C]0.78[/C][C]-2.00393569138760[/C][C]0.305574768721135[/C][/ROW]
[ROW][C]0.79[/C][C]-1.92875636015009[/C][C]0.307186973067745[/C][/ROW]
[ROW][C]0.8[/C][C]-1.84926076556792[/C][C]0.327918931194589[/C][/ROW]
[ROW][C]0.81[/C][C]-1.76242587061742[/C][C]0.360789769585997[/C][/ROW]
[ROW][C]0.82[/C][C]-1.66648402805335[/C][C]0.39692047874872[/C][/ROW]
[ROW][C]0.83[/C][C]-1.56099390018798[/C][C]0.428274198060015[/C][/ROW]
[ROW][C]0.84[/C][C]-1.44635012889596[/C][C]0.450082116296181[/C][/ROW]
[ROW][C]0.85[/C][C]-1.32273518918867[/C][C]0.463131627647393[/C][/ROW]
[ROW][C]0.86[/C][C]-1.18878679063087[/C][C]0.475270955072458[/C][/ROW]
[ROW][C]0.87[/C][C]-1.04054419863738[/C][C]0.500408825969321[/C][/ROW]
[ROW][C]0.88[/C][C]-0.871389862917474[/C][C]0.552320298041908[/C][/ROW]
[ROW][C]0.89[/C][C]-0.673517869128887[/C][C]0.634228754777138[/C][/ROW]
[ROW][C]0.9[/C][C]-0.44080731276049[/C][C]0.732570934503449[/C][/ROW]
[ROW][C]0.91[/C][C]-0.171994536585863[/C][C]0.820705675197048[/C][/ROW]
[ROW][C]0.92[/C][C]0.12768796670431[/C][C]0.87013561572792[/C][/ROW]
[ROW][C]0.93[/C][C]0.44777568515867[/C][C]0.864994090064188[/C][/ROW]
[ROW][C]0.94[/C][C]0.775935777532751[/C][C]0.81224686196339[/C][/ROW]
[ROW][C]0.95[/C][C]1.09992578739210[/C][C]0.734675517686923[/C][/ROW]
[ROW][C]0.96[/C][C]1.40478537497583[/C][C]0.640715038159634[/C][/ROW]
[ROW][C]0.97[/C][C]1.66768215926479[/C][C]0.504807967464242[/C][/ROW]
[ROW][C]0.98[/C][C]1.86038155204631[/C][C]0.309826460472885[/C][/ROW]
[ROW][C]0.99[/C][C]1.96636593595045[/C][C]0.109639844323737[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49513&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49513&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.63937761019650.865001193869624
0.02-24.06743277000870.966152030756575
0.03-23.39909976046151.29546824902504
0.04-22.66304908497841.61677428698461
0.05-21.87537142836001.83799135195628
0.06-21.06610177115861.95972894454750
0.07-20.26678389119652.00370474454984
0.08-19.49853414265292.00092502643127
0.09-18.76915412032711.99022642884176
0.1-18.07555533182692.00385200091544
0.11-17.40863382429902.05147060099881
0.12-16.7588363918932.11829069332772
0.13-16.12060687242632.1769136485612
0.14-15.49440453374452.20171927149768
0.15-14.88617014851412.17729124720663
0.16-14.30513496377332.10032599231261
0.17-13.76119213940531.97693062239130
0.18-13.26275394066151.81853426995260
0.19-12.81547601521141.63815236467623
0.2-12.42178200081621.44837380036321
0.21-12.08091860073881.26082774542004
0.22-11.78928637341591.08634266275363
0.23-11.54090905339610.935164582460011
0.24-11.32801130008570.816571157558318
0.25-11.14171352293600.737779335584784
0.26-10.97282539787810.701843255074822
0.27-10.81266469551530.705607622052713
0.28-10.65378667922740.740186787359316
0.29-10.49050605877540.793979986452082
0.3-10.31913024984570.855870992389005
0.31-10.13788483770880.917052054949363
0.32-9.94657840989990.971717709716416
0.33-9.746105078052581.01711354652327
0.34-9.53790694604181.05327791005780
0.35-9.323512185533741.08209033254024
0.36-9.104231942106881.10626975100387
0.37-8.881051379840221.12812142917134
0.38-8.65469964218511.14869070771029
0.39-8.425842390795461.16728194782645
0.4-8.195317325100461.18160685957789
0.41-7.96433099093391.18842735260507
0.42-7.734552341473581.18440152883397
0.43-7.508068963007681.16695748337115
0.44-7.287207538453471.13501492482333
0.45-7.074252800548611.0894046387542
0.46-6.87112227569051.03290905398612
0.47-6.679063499902540.970034225717906
0.48-6.498435129596750.906432638057022
0.49-6.328615484987470.848152358323339
0.5-6.168055992692970.800786196302576
0.51-6.0144686341690.768504800203945
0.52-5.865111952556060.753328116876858
0.53-5.717124375252010.754770665661156
0.54-5.56784927985120.77016536337647
0.55-5.415103268891930.795447106205626
0.56-5.257354799039150.826064546917382
0.57-5.093800166423560.857704961299003
0.58-4.924343001843720.886734778397931
0.59-4.74949793306580.910433132444813
0.6-4.570246859034900.927017950027888
0.61-4.387877411271320.935585899368101
0.62-4.203829358492090.935976856986782
0.63-4.01956831948920.928570081634106
0.64-3.836499167274620.914086773993675
0.65-3.655924808281770.893380231216399
0.66-3.479049329019750.867217490860438
0.67-3.307017049770150.836111859351034
0.68-3.140970592315940.800191707179678
0.69-2.982102873815080.759217576760853
0.7-2.831672797985730.712748121438287
0.71-2.690955908880880.660499918851367
0.72-2.561112142798380.602794651120127
0.73-2.442973276429610.54099739753781
0.74-2.336779480637850.477796843031351
0.75-2.241921159725250.417242475467688
0.76-2.156760868683140.364533925097968
0.77-2.078612573866330.325529958768257
0.78-2.003935691387600.305574768721135
0.79-1.928756360150090.307186973067745
0.8-1.849260765567920.327918931194589
0.81-1.762425870617420.360789769585997
0.82-1.666484028053350.39692047874872
0.83-1.560993900187980.428274198060015
0.84-1.446350128895960.450082116296181
0.85-1.322735189188670.463131627647393
0.86-1.188786790630870.475270955072458
0.87-1.040544198637380.500408825969321
0.88-0.8713898629174740.552320298041908
0.89-0.6735178691288870.634228754777138
0.9-0.440807312760490.732570934503449
0.91-0.1719945365858630.820705675197048
0.920.127687966704310.87013561572792
0.930.447775685158670.864994090064188
0.940.7759357775327510.81224686196339
0.951.099925787392100.734675517686923
0.961.404785374975830.640715038159634
0.971.667682159264790.504807967464242
0.981.860381552046310.309826460472885
0.991.966365935950450.109639844323737



Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')